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This project uses the Twitter API to pull the tweets in a JSON Format. It then uses Python and Flask to rate those tweets as happy, sad or neutral based on their textual content.

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deekshabajpai/SentimentAnalysis

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SentimentAnalysis

This is a sentiment Analysis project developed on Python Flask Framework. It has a full fledged login, registation module with sessins. The login database is deployed on Xampp server. Database: Users. table name: users. Fields- name, email(unique), password.

To develop this project, you must also have a "Twitter Developers Account" for tweepy. It takes in a keyword, and the number of Tweets from a HTML form. The output is The sentiment analyzed, and a Pie Chart related to it.

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This project uses the Twitter API to pull the tweets in a JSON Format. It then uses Python and Flask to rate those tweets as happy, sad or neutral based on their textual content.

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